NewsVAT: an interactive visual analytics tool for news exploration

Authors:
Xiaojuan Liu;Xia Lin
Affiliations:
Beijing Normal University;Drexel University
Venue:
Proceedings of the 5th International Symposium on Visual Information Communication and Interaction
Year:
2012

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Abstract

News articles have become an important data source for the general public and researchers. We have developed an interactive visual analytics tool for news exploration (NewsVAT). It includes four main components: preprocessing, analysis, visualization engine and an interface for news exploration. NewsVAT takes news articles as input, and outputs animations reflecting the content of these documents. It provides time series visualization, spatial visualization, co-occurrence network, etc. Rich, flexible and interactive visualization is the prominent feature. In order to test the effectiveness of NewsVAT, a case study was conducted which partly proves the system is effective in news exploration and a helpful aid to research work. Further development includes refining the interactive visualization and improving the accuracy of automatic extraction.